Who is this presentation for?

Data scientists, executives, and decision makers who want to understand the role of Jupyter in the modern data and analytics ecosystem of large enterprises

What you'll learn

Explore trends in modern data and analytics ecosystems for large enterprises and some of the key challenges and opportunities for Jupyter adoption

Description

There has been a tremendous interest in Jupyter and related open source technologies in the data science community. While some companies have started using Jupyter internally or are working with vendors that have started incorporating Jupyter in their product offering to help data scientist teams scale in enterprise settings, it is not always clear how Jupyter fits in the larger data and analytics ecosystem of most large enterprises.

Gerald Rouselle reviews some of the trends in modern data and analytics ecosystems for large enterprises and shares some of the key challenges and opportunities for Jupyter adoption. He also details some recent examples and experiments in incorporating Jupyter in commercial products and platforms.